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      Sociodemographic factors associated with anemia among reproductive age women in Mali; evidenced by Mali malaria indicator survey 2021: spatial and multilevel mixed effect model analysis

      research-article
      1 , , 2
      BMC Women's Health
      BioMed Central
      Sociodemographic factors, Anemia, Multilevel, Spatial, Mali

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          Abstract

          Introduction

          Anemia is a severe global public health problem that threatens human health as well as social and economic development in both developing and developed nations. Anemia is a significant public health issue because; it affects people from all backgrounds. Anemia affected about one-third of non-pregnant women, 41.8% of pregnant women, and more than a quarter of the world’s population. Any stage of a woman’s life might result in anemia, due to physiological factors, infections, hormonal imbalances, pregnancy related complications, genetic factors, nutritional deficiency and environmental factors. Mali is a developing country with substantial anemia prevalence, particularly in the developing areas. In order to reduce anemia among women of reproductive age, the Mali government worked to enhance preventative and integrative interventions. One of the government’s objectives is to reduce the prevalence of anemia in order to decrease maternal and infant mortality and morbidity.

          Methods

          Secondary data analysis was conducted using data from Mali Malaria Indicator Survey 2021 datasets. The study comprised a total of 10,765 reproductive-age women. Spatial and multilevel mixed effect analysis, chi-square, bivariate and multivariate logistic regression were employed on determinant factors of anemia among reproductive age women in Mali. Finally, the percentage and odd ratio, its 95% confidence intervals, and the result of spatial analysis were reported.

          Results

          This study includes a total weighted sample of 10,765 reproductive-age women from Mali Malaria Indicator Survey 2021. The prevalence of anemia was 38%. Of them, 1.4%, were severely anemic, while 23.5% and 13.1% were moderately and mildly anemic, respectively in Mali. In the spatial analysis, the spatial distribution of anemia showed that a higher proportion of anemia found in southern and south west region of Mali. The northern and north east region of Mali had a low of proportion of anemia. being youngest age [ 2024] years [ AOR = 0.817; 95% CI = (0.638,1.047); P = 0.000], attending higher education [AOR = 0.401; 95% CI= (0.278,0.579); P = 0.000], being male headed household [AOR = 0.653; 95% CI= (0.536,0.794); P = 0.000] and being richest [AOR = 0.629; 95% CI= (0.524,0.754) P = 0.000] were protective factors for anemia among reproductive age women. In contrast to this, living in rural area [ AOR = 1.053; 95% CI = (0.880,1.260); P = 0.000], being animist religion follower [AOR = 3.10; 95% CI= (0.763,12.623) P = 0.04], using unimproved drinking water sources [AOR = 1.117; CI= (1.017,1.228); P = 0.021} and using unimproved toilet facility [AOR = 1.018; CI= (0.917,1.130); P = 0.041} were considered as the risk factors for anemia among reproductive age women.

          Conclusion

          In this study, anemia was linked to socio-demographic characteristics, and there were regional variations in the frequency of anemia among women of reproductive age. The most important measures to prevent anemia among women of reproductive age in Mali included empowering women to have higher levels of education, raising the wealth index, rise in awareness of improved drinking water sources and toilet facilities, spreading anemia education through religiously acceptable routes, and using an integrated approach to prevention and intervention in high-prevalent regions of the country.

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          Most cited references18

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          A systematic analysis of global anemia burden from 1990 to 2010.

          Previous studies of anemia epidemiology have been geographically limited with little detail about severity or etiology. Using publicly available data, we estimated mild, moderate, and severe anemia from 1990 to 2010 for 187 countries, both sexes, and 20 age groups. We then performed cause-specific attribution to 17 conditions using data from the Global Burden of Diseases, Injuries and Risk Factors (GBD) 2010 Study. Global anemia prevalence in 2010 was 32.9%, causing 68.36 (95% uncertainty interval [UI], 40.98 to 107.54) million years lived with disability (8.8% of total for all conditions [95% UI, 6.3% to 11.7%]). Prevalence dropped for both sexes from 1990 to 2010, although more for males. Prevalence in females was higher in most regions and age groups. South Asia and Central, West, and East sub-Saharan Africa had the highest burden, while East, Southeast, and South Asia saw the greatest reductions. Iron-deficiency anemia was the top cause globally, although 10 different conditions were among the top 3 in regional rankings. Malaria, schistosomiasis, and chronic kidney disease-related anemia were the only conditions to increase in prevalence. Hemoglobinopathies made significant contributions in most populations. Burden was highest in children under age 5, the only age groups with negative trends from 1990 to 2010.
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            Worldwide prevalence of anaemia, WHO Vitamin and Mineral Nutrition Information System, 1993-2005.

            To provide current global and regional estimates of anaemia prevalence and number of persons affected in the total population and by population subgroup. We used anaemia prevalence data from the WHO Vitamin and Mineral Nutrition Information System for 1993-2005 to generate anaemia prevalence estimates for countries with data representative at the national level or at the first administrative level that is below the national level. For countries without eligible data, we employed regression-based estimates, which used the UN Human Development Index (HDI) and other health indicators. We combined country estimates, weighted by their population, to estimate anaemia prevalence at the global level, by UN Regions and by category of human development. Survey data covered 48.8 % of the global population, 76.1 % of preschool-aged children, 69.0 % of pregnant women and 73.5 % of non-pregnant women. The estimated global anaemia prevalence is 24.8 % (95 % CI 22.9, 26.7 %), affecting 1.62 billion people (95 % CI 1.50, 1.74 billion). Estimated anaemia prevalence is 47.4 % (95 % CI 45.7, 49.1 %) in preschool-aged children, 41.8 % (95 % CI 39.9, 43.8 %) in pregnant women and 30.2 % (95 % CI 28.7, 31.6 %) in non-pregnant women. In numbers, 293 million (95 % CI 282, 303 million) preschool-aged children, 56 million (95 % CI 54, 59 million) pregnant women and 468 million (95 % CI 446, 491 million) non-pregnant women are affected. Anaemia affects one-quarter of the world's population and is concentrated in preschool-aged children and women, making it a global public health problem. Data on relative contributions of causal factors are lacking, however, which makes it difficult to effectively address the problem.
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              The Proportion of Anemia Associated with Iron Deficiency in Low, Medium, and High Human Development Index Countries: A Systematic Analysis of National Surveys

              Iron deficiency is commonly assumed to cause half of all cases of anemias, with hereditary blood disorders and infections such as hookworm and malaria being the other major causes. In countries ranked as low, medium, and high by the Human Development Index, we conducted a systematic review of nationally representative surveys that reported the prevalence of iron deficiency, iron deficiency anemia, and anemia among pre-school children and non-pregnant women of reproductive age. Using random effects meta-analyses techniques, data from 23 countries for pre-school children and non-pregnant women of reproductive age was pooled, and the proportion of anemia attributable to iron deficiency was estimated by region, inflammation exposure, anemia prevalence, and urban/rural setting. For pre-school children and non-pregnant women of reproductive age, the proportion of anemia associated with iron deficiency was 25.0% (95% CI: 18.0, 32.0) and 37.0% (95% CI: 28.0, 46.0), respectively. The proportion of anemia associated with iron deficiency was lower in countries where anemia prevalence was >40%, especially in rural populations (14% for pre-school children; 16% for non-pregnant women of reproductive age), and in countries with very high inflammation exposure (20% for pre-school children; 25% for non-pregnant women of reproductive age). Despite large heterogeneity, our analyses suggest that the proportion of anemia associated with iron deficiency is lower than the previously assumed 50% in countries with low, medium, or high Human Development Index ranking. Anemia-reduction strategies and programs should be based on an analysis of country-specific data, as iron deficiency may not always be the key determinant of anemia.
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                Author and article information

                Contributors
                gosa122011@gmail.com
                belkinfe1624@gmail.com
                Journal
                BMC Womens Health
                BMC Womens Health
                BMC Women's Health
                BioMed Central (London )
                1472-6874
                27 May 2023
                27 May 2023
                2023
                : 23
                : 291
                Affiliations
                [1 ]GRID grid.467130.7, ISNI 0000 0004 0515 5212, Present Address: Department of Biomedical, College of Medicine and Health Science, , Wollo University, ; Dessie, Ethiopia
                [2 ]GRID grid.467130.7, ISNI 0000 0004 0515 5212, College of Medicine and Health Science, , Wollo University, ; Dessie, Ethiopia
                Article
                2351
                10.1186/s12905-023-02351-x
                10225097
                37244997
                9581d695-4f15-41cb-9474-5eaa46805882
                © The Author(s) 2023

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 4 November 2022
                : 12 April 2023
                Categories
                Research
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                © BioMed Central Ltd., part of Springer Nature 2023

                Obstetrics & Gynecology
                sociodemographic factors,anemia,multilevel,spatial,mali
                Obstetrics & Gynecology
                sociodemographic factors, anemia, multilevel, spatial, mali

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